Wearable Decubitus Prophylaxis Tool Based on Machine Learning Methods-Reference-Cited by-同舟云学术

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Wearable Decubitus Prophylaxis Tool Based on Machine Learning Methods

Published:2022-03-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Author:

Grunerbel Lorenz¹,Heinrich Ferdinand¹,Diebolder Dominik¹,Richter Martin¹

Affiliation:

1. Fraunhofer EMFT,Munich,Germany

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9766442/9767206/09767265.pdf?arnumber=9767265

Reference19 articles.

1. Reflectance pulse oximetry: Practical issues and limitations

2. sktime: A unified interface for machine learning with time series;löning,0

3. Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers;Bioengineering;2023-09-25

2. Smart Beds Designed for Monitoring and Treatment of Pressure Ulcers;2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET);2023-02-10

3. Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review;International Journal of Environmental Research and Public Health;2023-01-01

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